Nestlé Mexico Had More Scale Than It Knew What To Do With – Until It Unified Its Data
Nestlé México, a multinational food and beverage company with over 70 brands ranging from coffee to baby food, faces the challenge of managing its vast scale and data silos. The company partnered with AI platform Treasure AI to unify its data and improve customer engagement, targeting, and personalization across its diverse product portfolio. This initiative aims to break down silos between brands and provide more accurate, holistic targeting for all Nestlé México customers.
Original reporting · adexchanger.com
Read “Nestlé Mexico Had More Scale Than It Knew What To Do With – Until It Unified Its Data” at AdExchanger →How this was written. The 5:45 Ops Desk wrote this article with a language model from AdExchanger’s reporting (model: @cf/ibm-granite/granite-4.0-h-micro); it describes that reporting rather than adding to it. The original, linked above, is the full story.
Key points from AdExchanger’s report
- Nestlé México owns over 70 brands, including coffee, candy bars, and baby food, making its customer data complex and requiring unified analysis.
- The company partnered with AI platform Treasure AI, now rebranded as an 'agentic experience platform,' to break down data silos and improve customer engagement and targeting.
- Using engagement data and demographic information, Nestlé México identified three main audiences for its La Lechera brand: traditionalists, experts, and explorers, allowing for personalized targeting and campaigns that increased open rates by nearly twice the previous baseline.
From the source
Prior to adopting Treasure AI, Nestlé Mexico had looked at data and targeting on a brand-by-brand basis. Now, its entire portfolio is unified in one system.